NEOM 0-2 Al-Qadisiyah FC – Result & Analysis

Poisson model rates Al-Qadisiyah FC at 50%, yet other data sources diverge — this NEOM vs Al-Qadisiyah FC fixture contains genuine analytical tension.

✍️ Match Preview

Pre-Match Analysis

NEOM and Al-Qadisiyah FC meet at King Khalid Sports City in Pro League, Regular Season - 3. This fixture gets under way on Monday 24 August 2026 at 16:40 UTC.

Current Form

NEOM's overall Pro League record this term: 5W 3D 2L from 10 games (1.80 PPG). Last five: W L D W W. Offensively they are averaging 1.60 goals per game, with 1.30 conceded. 2 clean sheets from 10 outings provides some defensive foundation. Both teams have scored in 70% of their games — a high BTTS rate that carries real weight in the goals markets. NEOM have played only a handful of Pro League games so far this season, so this record also draws on matches from last season.

NEOM's form when playing at home: 5W 3D 2L across 10 games at King Khalid Sports City this term (1.80 PPG). At home they are averaging 1.40 goals scored and 1.10 conceded per game. BTTS has landed in 60% of their home matches — a rate that supports the Yes angle in this fixture.

Al-Qadisiyah FC (all games): 6W 2D 2L across 10 Pro League outings this term — 2.00 points per game. Last five: W W W W L. Their attacking form is sharp — 2.40 goals per game is a high-output rate that commands respect in the goals markets. 2 clean sheets from 10 outings suggests some defensive organisation. Both teams have scored in 70% of their games — a noteworthy BTTS rate that supports the Yes market. Al-Qadisiyah FC have played only a handful of Pro League games so far this season, so this record also draws on matches from last season.

Al-Qadisiyah FC's form when playing away from home: 8W 1D 1L across 10 road games this term (2.50 PPG). They are averaging 2.90 goals per away game — strong road scoring that makes them a threat even without home support. Both teams have scored in 80% of their away matches — a high BTTS rate on the road that directly informs this fixture. Their away PPG of 2.50 exceeds their overall 2.00 — they actually perform better on the road than their aggregate form implies.

Neither side holds a meaningful form edge. The 1.80 vs 2.00 PPG split is negligible — model and market signals should carry more analytical weight for this one.

In terms of goals, both squads have been finding the net consistently (using home/away splits) — NEOM have seen both teams score in 60% of their games, Al-Qadisiyah FC in 80%. That combined rate is a strong statistical case for BTTS Yes as a standalone play.

H2H History

Form and model data should carry more weight here — the historical record is too balanced to provide a directional steer. From 2 meetings: NEOM 0W, Al-Qadisiyah FC 2W, 0D.

The 2 previous meetings have averaged 2.5 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 12 Feb 2026, ended 0–1 with Al-Qadisiyah FC winning.

The head-to-head offers no strong directional steer in either the result or goals markets. Form, the predictive model and current market pricing should carry more weight than the historical record for this fixture.

Trading

NEOM half-time and goal-timing data (36 games, 18 at home): they score before half-time in 72% of fixtures in home games; when goalless at HT, a second-half goal follows 92% of the time; two or more arrive in the second half on 50% of those occasions; BTTS occurs in 67% of their matches (home games); Over 2.5 goals lands in 61% of games (home games).

Al-Qadisiyah FC half-time and goal-timing data (36 games, 18 at away): they score before half-time in 78% of fixtures in away games; when goalless at HT, a second-half goal follows 86% of the time; two or more arrive in the second half on 57% of those occasions; BTTS occurs in 78% of their matches (away games); Over 2.5 goals lands in 78% of games (away games); Over 3.5 in 56%.

From a combined perspective, both sides have high BTTS rates — NEOM 64% and Al-Qadisiyah FC 67% — which reinforces the BTTS Yes angle from in-play data. The over/under 2.5 picture is inconclusive from the in-play data (NEOM 53% | Al-Qadisiyah FC 69%).

Poisson Model

The Poisson distribution model projects NEOM 1.30 xG and Al-Qadisiyah FC 1.82 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: NEOM attack 1.031 / defence 0.950 | Al-Qadisiyah FC attack 1.378 / defence 0.910. League average goals — home 1.382 / away 1.390. Al-Qadisiyah FC have an above-average attack strength of 1.378 — the away xG of 1.82 is driven by genuine attacking quality on the road. Data: 36 NEOM games / 36 Al-Qadisiyah FC games used (Blended). A blend of current and prior-season data is applied to stabilise estimates early in the campaign.

Result probabilities: NEOM 27% | Draw 23% | Al-Qadisiyah FC 50%. Fair-value odds: NEOM 3.70 | Draw 4.35 | Al-Qadisiyah FC 2.00. Al-Qadisiyah FC hold a narrow Poisson edge at 50% — the draw (23%) is close enough to merit draw-inclusive market consideration.

Goals markets: Over 2.5 probability 60% | BTTS probability 61% | Total xG 3.12. Over 2.5 holds a meaningful probability edge at 60% — the 3.12 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS Yes at 61% reflects that both xG figures (1.30 / 1.82) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Verdict

The Poisson model's primary lean is Al-Qadisiyah FC at 50% — moderate model lean. Draw probability of 23% warrants consideration of Double Chance or Draw No Bet on Al-Qadisiyah FC if the outright odds are short.

Poisson projects 3.12 total expected goals, pointing to Over 2.5 at 60% probability — reasonable conviction, supported by form averaging 3.2 goals per game.

On the BTTS market, Poisson puts 61% on Yes. Form rates corroborate: NEOM 60% | Al-Qadisiyah FC 80% BTTS from recent games.

The Poisson model is drawing on Blended data (36 games minimum) — early-season projections carry additional uncertainty. Weight the live form and odds signals accordingly.

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